A/B testing is quantitative-behavioral research method used to optimize conversion of a product, by showing one group of users control version and other group a slight variation. Version that performs better is the winner, sounds simple?
Quantitative research methods require larger sample size in order to have statistical power, or simply put more users means higher chance to correctly identify a winner. But what is statistical power and how much is more?